The next generation of molecular cancer therapeutics will target pivotal protein-protein interaction interfaces participating in immune cell receptor signaling, oncogenes, and suppressor genes. We will implement a truly transformative, wholly novel, technology ?protein painting? for the rapid direct sequencing of hidden native protein-protein interaction hot spots, that was originated under NCI R21 IMAT CA177535. Our technology employs previously unexplored small molecule (12 ) aryl hydrocarbon dyes or ?paints? to cut out, and MS sequence, only the hidden unmodified contact interfaces between two or more interacting native proteins. Protein painting employs a completely new principle that yields a much higher specificity and three times higher number of positive hits compared to chemical footprinting methods. Paint chemistries have extremely high affinities (rapid on-rates, and very slow off-rates that are ten to 100 times higher than most protein-protein interactions). When mixed with a native pre-formed protein complex for only 5 minutes, the paints non- covalently coat all external sites on the protein without altering the 3D conformation of the complex, but cannot gain access to the solvent inaccessible hidden protein-protein interaction domains. Each paint molecule spans 3 amino acids or less, and has high affinity for protease cleavage consensus sites. Following painting, the unbound paints are washed away and the proteins are dissociated. This leaves the paint molecules coating surfaces not participating in the interface. Following dissociation, the proteins are linearized, digested with proteolytic enzymes, and sequenced by MS. The paint molecules remain non-covalently bound after the proteins are denatured. Proteolytic enzymes such as trypsin will not cleave the regions of the protein that are ?painted?. Following proteolysis, therefore, peptides emerging from MS will exclusively be generated from the unmodified opposing points where the proteins were in intimate contact. All of the original R21 Aims and Milestones were fully met. A very high correlation (p<0.0003) was found between protein painting and the contact points predicted by crystal structure, with a 97% specificity for true positive hot spots. We discovered evolutionarily conserved 3-way hotspots and verified their functional importance by creating peptides and mAbs that block the interaction and extinguish signaling.
Under Aim1, we will discover novel hotspot sequences of broad therapeutic relevance for interacting protein complexes of three types: 1) cell surface receptors (PD1/PDL-1,PDL-2) involved in tumor immune cell suppression , 2) Hippo cancer suppressor pathway proteins, and 3) the recently elucidated oncogene Folliculin.
Under Aim 2 we will validate the functional (drug candidate) importance of the interaction hotspots we discover, by creating peptides and monoclonal antibodies that bind to the opposing hotspot faces of the interacting proteins. We will verify that these ligands will suppress protein complex formation. For the PD1/PDL-1,PDL-2 cell surface complexes, we will extend protein painting, for the first time, to MS sequence cell-cell interaction contact points in cultured live cells.

Public Health Relevance

The next generation of molecular cancer therapeutics will target pivotal protein-protein interaction interfaces participating in receptor signaling, oncogenes, and suppressor genes. We will implement a truly transformative, wholly novel, technology ?protein painting? for the rapid direct isolation and sequencing of hidden native protein-protein interaction hot spots, and show that the technology can generate targets for blocking cancer inducing protein signaling.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants Phase II (R33)
Project #
3R33CA206937-02S1
Application #
9392299
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Ogunbiyi, Peter
Project Start
2016-09-01
Project End
2019-08-31
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
2
Fiscal Year
2017
Total Cost
Indirect Cost
Name
George Mason University
Department
Other Basic Sciences
Type
Schools of Arts and Sciences
DUNS #
077817450
City
Fairfax
State
VA
Country
United States
Zip Code
22030
Steinberg, Hannah E; Russo, Paul; Angulo, Noelia et al. (2018) Toward detection of toxoplasmosis from urine in mice using hydro-gel nanoparticles concentration and parallel reaction monitoring mass spectrometry. Nanomedicine 14:461-469
DeMarino, Catherine; Pleet, Michelle L; Cowen, Maria et al. (2018) Antiretroviral Drugs Alter the Content of Extracellular Vesicles from HIV-1-Infected Cells. Sci Rep 8:7653
Mueller, Claudius; Haymond, Amanda; Davis, Justin B et al. (2018) Protein biomarkers for subtyping breast cancer and implications for future research. Expert Rev Proteomics 15:131-152
Araujo, Robyn P; Liotta, Lance A (2018) The topological requirements for robust perfect adaptation in networks of any size. Nat Commun 9:1757
Kim, Brianna; Araujo, Robyn; Howard, Marissa et al. (2018) Affinity enrichment for mass spectrometry: improving the yield of low abundance biomarkers. Expert Rev Proteomics 15:353-366
Sereni, Maria Isabella; Baldelli, Elisa; Gambara, Guido et al. (2017) Kinase-driven metabolic signalling as a predictor of response to carboplatin-paclitaxel adjuvant treatment in advanced ovarian cancers. Br J Cancer 117:494-502
Paris, Luisa; Magni, Ruben; Zaidi, Fatima et al. (2017) Urine lipoarabinomannan glycan in HIV-negative patients with pulmonary tuberculosis correlates with disease severity. Sci Transl Med 9:
Günther, Sebastian; Deredge, Daniel; Bowers, Amanda L et al. (2017) IL-1 Family Cytokines Use Distinct Molecular Mechanisms to Signal through Their Shared Co-receptor. Immunity 47:510-523.e4
Parasido, Erika Maria; Silvestri, Alessandra; Canzonieri, Vincenzo et al. (2017) Protein drug target activation homogeneity in the face of intra-tumor heterogeneity: implications for precision medicine. Oncotarget 8:48534-48544
Pierobon, Mariaelena; Ramos, Corinne; Wong, Shukmei et al. (2017) Enrichment of PI3K-AKT-mTOR Pathway Activation in Hepatic Metastases from Breast Cancer. Clin Cancer Res 23:4919-4928

Showing the most recent 10 out of 13 publications